Statistical Image Processing Techniques for Noisy Images - An Application-Oriented Approach

Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.

Summary

Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.

Product details

• Authors: Francois Goudail, François Goudail, Phillipe Refregier, Phillip Réfrégier, Phillipe Réfrégier
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 26.05.2014
• EAN: 9781461346920
• ISBN: 978-1-4613-4692-0
• No. of pages: 254
• Dimensions: 156 mm x 15 mm x 236 mm
• Weight: 421 g
• Illustrations: XIII, 254 p. 93 illus.
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Laser, C, Statistics, computer science, Computer Vision, Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Lasers, Optical physics, Photonics, Applied optics, Optics, Lasers, Photonics, Optical Devices, Geographical information systems & remote sensing, Probability & statistics, Geographical Information System, Optical data processing, Remote sensing, Remote Sensing/Photogrammetry